Yongli Ren

Dr. Yongli Ren

Associate Professor

Details

  • College: School of Computing Technologies
  • Department: School of Computing Technologies
  • Campus: City Campus Australia
  • yongli.ren@rmit.edu.au

Open to

  • Masters Research or PhD student supervision

Supervisor projects

  • Data Stream Classification With Neighbouring Information Forwards And Backwards
  • 21 Feb 2023
  • Learning from Multimodal Time-series Data with Minimal Supervision
  • 19 Sep 2022
  • Spatiotemporal Deep Learning
  • 26 Aug 2022
  • Modelling Heterogeneous Time Series from Irregular Data Streams
  • 13 Apr 2022
  • Stream data management and analysis with reinforcement learning
  • 1 Jul 2021
  • Beyond Accuracy: Understanding and Modeling the Role of User Conformity in Recommender Systems
  • 6 Mar 2020
  • Towards a Fair Future: Advancing Fairness in Recommendation Systems
  • 22 Jan 2020
  • Optimization of Learning on Graphs and Spatio-temporal Data
  • 30 Jul 2019
  • Answering complex and subjective questions based on review helpfulness
  • 17 Jun 2019
  • Travel Efficiency Investigation: Unravelling Local and Global Insights via Taxi Trajectory Analysis
  • 3 Sep 2018
  • False-Positive Metrics for Recommender Systems Offline Evaluation
  • 3 Sep 2018
  • Next Generation Recommender Systems: A Practical Approach
  • 19 Apr 2018
  • Declarative Context-aware Recommendation
  • 10 Nov 2017
  • Mining Human Mobility Patterns from Pervasive Spatial and Temporal Data 
  • 21 Apr 2017
  • Discovering Critical Traffic Anomalies from GPS Trajectories for Urban Traffic Dynamics Understanding
  • 15 Dec 2016

Teaching interests

Web search, Collaborative filtering, Recommender system, Data mining, Log analysis

Research interests

Artificial Intelligence and Image Processing, Library and Information Studies, Information Systems, Distributed Computing, Other Physical Sciences, Applied Mathematics
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.